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Render Photo Grid Card Agent Skill

Render a 'photo-grid promo card' video from a config — a real-DOM card with a FIXED header/footer and a CONTINUOUSLY SCROLLING 2-row grid of MIXED tiles (video clips, product/lifestyle stills, big-serif %-OFF, dark promo-code or CTA) + feature chips, frame-stepped via Playwright with real-time <video> playback and encoded with FFmpeg — deterministic assembly, FREE (the clips + music come from create-video-fal + create-music-elevenlabs), text stays pixel-crisp. Use for the photo-grid-promo-card format.

5k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill render-photo-grid-card

What comes with it

17 403 bytes besides the instruction
scripts/_shared.js
scripts/build_card.py
scripts/render.py
skill.meta.json
tests/smoke-test.md

The instruction itself

3 sections, as written by the author

render-photo-grid-card

Render the 'photo-grid promo card' format from a config. The signature of this format is a

continuously scrolling 2-row grid (NOT a static card) under a fixed header (brand

wordmark + big headline + sub) and fixed feature chips. The grid-viewport scrolls left

across the whole ~10s, edge-faded with a CSS mask, and its tiles are mixed media:

video clips playing inside tiles, band-product/photo stills, big-serif pct/off

type tiles, and a dark code (promo code) or cta tile.

The renderer itself is FREE/deterministic (Playwright frame-step + FFmpeg). The paid inputs

are separate capabilities: the tile clips come from create-video-fal (i2v of the

product heroes, or clips extracted from the brand's own ad corpus) and the music from

create-music-elevenlabs. Text (wordmark, %, code) is real DOM — never AI-rendered.

Run

build_card.py --config config.json --out hyperframe.html ; render.py --config config.json --html hyperframe.html --out master-silent.mp4 — 1080x1920, scrolling grid, deterministic, $0.

Clip tiles are driven by FRAME-SWAP, not <video>: render.py pre-extracts each clip to

PNG frames with ffmpeg, preloads them, and swaps each <img class="vidframe">'s src per

output frame. This is because Playwright's bundled Chromium can't decode <video> H.264

over file:// (open-source build, no proprietary codecs) — it hangs on canplay. Letting

ffmpeg decode makes it codec-independent AND deterministic. Provide clips longer than the

master (or the swap just loops them); a subtle setpts-slow reads as cinematic.

Contract

  • Deterministic + FREE (Playwright frame-step + FFmpeg); no paid calls in this capability.
  • Tiles-per-row = grid columns (cols), NOT total tiles; the grid fills row-major.
  • The template recipe (DB) supplies the config; clips + music are separate capabilities.

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How to use it

Copy the folder

Take gooseworks-ai/render-photo-grid-card from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.